The dataset consists in 50 WAV files sampled at 16KHz for 50 different classes.

To each one of the classes, corresponds 40 audio sample of 5 seconds each. All of these audio files have been concatenated by class in order to have 50 wave files of 3 min. 20sec.

In our example notebook, we show how to access the data and visualize a piece of it.

Acknowledgements

We have not much credit in proposing the dataset here. Much of the work have been done by the authors of the ESC-50 Dataset for Environmental Sound Classification. In order to fit on Kaggle, we processed the files with the to_wav.py file present in the original repository. You might also notice that we transformed the data from OGG to WAV as the former didn't seem to be supported in Anaconda.